344
---
title: "Advanced Dashboarding"
output:
flexdashboard::flex_dashboard:
orientation: row
vertical_layout: fill
social: ['menu']
source_code: embed
theme:
version: 4
bootswatch: sandstone
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
data('penguins')
```
Plots {data-navmenu='Pages'}
=======================================================================
Sidebar {.sidebar}
-----------------------------------------------------------------------
### Penguin Stats
The number of penguins in the data is `r nrow(penguins)`
Row
-----------------------------------------------------------------------
### Number of Penguins
```{r}
valueBox(nrow(penguins), icon = 'fa-linux')
```
Column {.tabset}
-----------------------------------------------------------------------
### Scatter plot of bill length vs bill depth
```{r}
a <- penguins %>% ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) +
geom_point()
ggplotly(a)
```
### Chart B
```{r}
penguins %>% ggplot(aes(x = body_mass_g, y = sex, fill = sex)) +
geom_boxplot()
```
### Chart C
```{r}
penguins %>% ggplot(aes(x = flipper_length_mm, fill = species)) +
geom_histogram() +
facet_wrap(~species)
```
Data {data-navmenu='Pages'}
=======================================================================
```{r}
penguins %>% datatable(extensions = 'Buttons',
options = list(dom = 'Blfrtip',
buttons = c('copy', 'csv', 'excel', 'pdf',
'print')))
```